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Master Data Science with Python

Unlock the power of data with our Data Science with Python course. Learn data analysis, visualization, and machine learning techniques using Python. This course is designed for aspiring data scientists and analysts who want to leverage the capabilities of Python for data-driven decision-making. Gain hands-on experience with Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn. Whether you’re looking to start your career or enhance your current skills, this course provides the knowledge and expertise to succeed in the field of data science.

What You'll Learn

  • Fundamentals of data science and Python programming
  • Data manipulation and analysis with Pandas and NumPy
  • Data visualization with Matplotlib and Seaborn
  • Implementing machine learning models with Scikit-learn
  • Working with real-world datasets
  • Best practices for data preprocessing and feature engineering
  • Building and evaluating predictive models

Requirements

  • Basic understanding of Python programming
  • Familiarity with basic statistics
  • Access to a computer with internet connectivity
  • An active code editor or IDE for hands-on practice

Curriculum

12 Lessons/Advanced
  • Principles of data visualization
  • Creating various types of plots and charts
  • Customizing and enhancing visualizations
  • Understanding machine learning concepts
  • Supervised vs. unsupervised learning
  • Implementing simple machine learning models
  • Building and evaluating predictive models
  • Feature engineering and selection
  • Hyperparameter tuning and model optimization
  • Sourcing and preparing real-world datasets
  • Hands-on projects to apply learned concepts
  • Case studies from various industries
  • Ensuring data quality and integrity
  • Effective communication of data insights
  • Ethical considerations in data science
  • Comprehensive review of course content
  • Practice exams and preparation tips for certification
  • Final assessment and project submission
  • Securing AWS resources with advanced security configurations
  • Implementing VPC security, security groups, and network ACLs
  • Ensuring compliance with AWS Security Hub
  • Practical projects to apply learned concepts
  • Case studies and real-world scenarios
  • Collaborative team projects and peer reviews
  • Comprehensive review of course content
  • Practice exams and preparation tips for certification
  • Final assessment and project submission
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This Course Include

  • Duration: 40 hours of instructional content
  • Certificate: Yes, upon successful completion
  • Skill Level: Intermediate to Advanced
  • Category: Programming

Have Any Question?

We’re here to help! Whether you need more information about our courses, assistance with enrollment, or guidance on your learning path, our team is ready to assist you. Reach out to us through the following channels:
  • (+91)-9000333315
  • expertfusionitsolutions@gmail.com